• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.109-114
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• 2020

The aim of this study is to develop basic artificial neural network models in forecasting the in-sample gross domestic product (GDP) of Malaysia. GDP is one of the main indicators in presenting the macro economic condition of a country as set by the world authority bodies such as the World Bank. Hence, this study uses an artificial neural network-based approach to make predictions concerning the economic growth of Malaysia. This method has been proposed due to its ability to overcome multicollinearity among variables, as well as the ability to cope with non-linear problems in Malaysia's growth data. The selected inputs and outputs are based on the previous literatures as well as the economic growth theory. Therefore, the selected inputs are exports, imports, private consumption, government expenditure, consumer price index (CPI), inflation rate, foreign direct investment (FDI) and money supply, which includes M1 and M2. Whilst, the output is real gross domestic product growth rate. The results of this study showed that the neural network method gives the smallest value of mean error which is 0.81 percent with a total difference of 0.70 percent. This implies that the neural network model is appropriate and is a relevant method in forecasting the economic growth of Malaysia.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.455-463
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• 2021

The creative industry has an important role in economic development, but creative economy entrepreneurs still face many problems in business development and sustaining their businesses. The purpose of the study is to investigate the effect of entrepreneurship orientation, innovative product advantages, and social network quality on business performance to help companies stay competitive. The research uses a quantitative approach with the population being the owner of the creative industry in Semarang City, Central Java, Indonesia. The sampling technique used is convenience sampling, obtained as many as 126 creative industry owners. Data was analyzed using Structural Equation Modeling Partial Least Square (SEM-PLS). The findings of this study show that entrepreneurial orientation, innovative product advantage, and social network quality have a positive effect on the business performance of the creative industry in Semarang City, Central Java, Indonesia. According to the study, a company with superior resources can win the competition and achieve business sustainability. When compared to competing organizations, the benefits of resources and competitive ability will create a competitive edge. As a result, stakeholders such as the government, the corporate sector, and universities are expected to play a larger role in accelerating the growth and development of creative industries.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.315-324
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• 2021

The study aims to investigate new theoretical approaches in an effort to resolve conceptual contradictions regarding the impact of organizational culture on developing culture for change, first by providing socio-structural frameworks supporting intrapreneurship, and second through encouraging professional culture behavior with management practices or organizational members acting as agents of change forming a deeper culture of values and behavior. The design of this research is quantitative. This study employs survey data of managers and section heads, which met the sampling requirements. Data analysis in this research used structural equation modeling (SEM) with the help of the AMOS program. The results show that all hypotheses are supported. The findings of this study suggest that the organizational culture transformation and dyadic social intrapreneurship based on professional culture (DSIBPC) have significant positive influence as antecedents of competitive advantage. This research also shows that DSIBPC is able to act as an important mediator that fills a gap in the relationship between organizational culture transformation toward competitive advantage, as well as being an alternative strategy for organizations in an effort to increase their competitive advantage. Referring to the results of this research, organizations need to focus and pay attention to the DSIBPC.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.189-200
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• 2022

The gig economy offers many advantages, such as flexibility, variety, independence, and lower cost. However, there are also safety concerns, lack of regulations, uncertainty, and unsatisfactory services, causing people to voice their opinion on social media. This paper aims to explore the sentiments of consumers concerning gig economy services (Grab, Foodpanda and Airbnb) through the analysis of social media. First, Vader Lexicon was used to classify the comments into positive, negative, and neutral sentiments. Then, the comments were further classified into three machine learning algorithms: Support Vector Machine, Light Gradient Boosted Machine, and Logistic Regression. Results suggested that gig economy services in Malaysia received more positive sentiments (52%) than negative sentiments (19%) and neutral sentiments (29%). Based on the three algorithms used in this research, LGBM has been the best model with the highest accuracy of 85%, while SVM has 84% and LR 82%. The results of this study proved the power of text mining and sentiment analysis in extracting business value and providing insight to businesses. Additionally, it aids gig managers and service providers in understanding clients' sentiments about their goods and services and making necessary adjustments to optimize satisfaction.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.933-941
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• 2021

This research aims to test the effect of corporate governance factors on corporate social responsibility (CSR) disclosure and its impact on a company's financial performance. The factors of corporate governance referred to in this research are foreign ownership, state ownership, number of board of commissioners, the proportion of independent commissioners, and educational background of commissioners' board. Based on the purposive sampling method, 194 companies were selected with a total of 582 observations. The data analysis used in this study was the Structural Equation Model (SEM) approach by using the alternative Partial Least Square (PLS) method. The results of this research indicated that state ownership, number of board of commissioners, and the proportion of independent commissioners had a significant positive effect on CSR disclosure. While the foreign ownership and the educational background of the commissioners' board have had an insignificant effect on CSR disclosure. Then, CSR disclosure had a significant positive effect on the companies' financial performance. The findings of this study suggest that the positive effect of the CSR disclosure on performance is because the disclosure is able to improve the company's reputation; the more social activities are carried out will improve the customers' loyalty as well as the support from other stakeholders which in turns will improve the company's performance.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.343-353
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• 2023

Corporate reputation is a widely debated topic among academics and a crucial issue in the business world. However, previous research in this area has been scattered and fragmented, leaving room for further study, particularly in terms of reputation measurement methods. Factors such as sustainability reporting, governance attributes, and company characteristics have been linked to improved company reputation. However, there is limited research on the effects of these variables on the new methods of measuring reputation, especially in developing countries like Malaysia. Therefore, the current study developed a new measurement for reputation and aimed to examine the relationship between these variables and the new proxy of reputation. The current study collected secondary data from the company's annual report for two years period of study (i.e., 2018 and 2019) and employed content analysis. A period of two years was chosen and deemed ample to provide insightful findings of the effect of the variables associated with reputation disclosure. The results indicate that sustainability reporting, outside directors, company size, leverage, and profitability significantly impact corporate reputation. This finding suggests that Malaysian PLCs and other firms in developing countries must recognize sustainability reporting as part of their reputation management strategy that influences the company's reputation.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.219-228
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• 2022

High-profile corporate crises have sparked a surge in interest in corporate governance (CG) and corporate reputation (CR). Company governance issues in many companies contribute to corporate failures and a bad reputation. Transparency is the glue that holds any group or organization together while also connecting it to a coalition of key stakeholders. This research focuses on how corporate governance factors (such as board independence, board size, board meetings, and board gender) and company characteristics affect the reputation of Malaysian public listed companies (PLCs). Many studies have looked into the characteristics of corporate governance in Malaysian businesses. However, none of the research has explored this issue using the new reputation measurement. A sample of the 100 largest companies listed on Bursa Malaysia based on their market capitalization for the year ended 2018 was selected. A new measurement, the disclosure index, was created and used to analyze reputation disclosure in the annual report of a corporation. The independent director, board size, and board meeting were statistically significant and associated with the level of reputation disclosure, according to the findings of this study. The results suggest that company directors prioritize good governance and management quality to boost their firm's reputation and acquire a competitive edge.

• Journal of Families and Better Life
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• v.17 no.2
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• pp.173-184
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• 1999

The purposed of this study was to reconceptualize home economics by focusing the concept of 'Family life welfare' which pursue the improvement of family life through making the home resourceful and developing the community. The reconceptualization of home economics as family life welfare could solve the problem identification and professionalization which home economics lack of. It also would contribute to the extension of an arena and activation of the Discussion no the family life by criticizing several approaches based on functionalism Finally the utilization of home economics major in public affair means the advancement of women's social participation.

• Korea Trade Review
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• v.47 no.4
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• pp.125-135
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• 2022

This study is to analyze the economic effects of tariff reduction using computable general equilibrium(CGE) model. We set up the social accounting matrix for five-base equilibrium year. Our main findings are as follows. First, the impact of tariff reduction on GDP was different from time to time. It meas that the differentiated economics structure was affected by tariff reduction. As our economic grew up, the impact of tariff reduction was measured much higher. Second, until 1995 the impact of tariff reduction on total export and import was increased, then while 1995 the increase was dropped. This is because we reduced the tariff by the WTO negotiations. Third, the tariff reduction affected the price of imported goods, so it contributed to substitute effects between domestic and imported goods. According to these results, we found out the importance of the linkage between the tariff reduction and economic structure.

• Journal of the Korean Home Economics Association
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• v.47 no.6
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• pp.67-77
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• 2009

The purpose of this study is to examine the effect of social self and body image on the appearance management behavior. The data were collected via a self-administered questionnaire from 419 male and female college students in Jecheon and analyzed by factor analysis, cluster analysis, t-test, regression and correlation. The results of this study were as follows : 1. Body image classified into four factors- emotional, cognitive, behavioral body image and interest in weight. 2. There existed correlation between social self and body image. According to gender, there existed significant differences in social self, body image and appearance management behavior. 3. College students classified into two groups- high and low social self group according to the degree of social self. Two groups showed statistically significant differences in body image and appearance management behavior. 4. In male and female groups, social self and body image influenced to the various appearance management behavior according to gender. The most important appearance management behavior which was affected by social self and body image was diet.